Triple
T24760335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kawanishi-Ikeda Station |
E619417
|
entity |
| Predicate | nearbyRailwayOperator |
P45263
|
FINISHED |
| Object | Hankyu Railway |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Hankyu Railway | Statement: [Kawanishi-Ikeda Station, nearbyRailwayOperator, Hankyu Railway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyRailwayOperator Context triple: [Kawanishi-Ikeda Station, nearbyRailwayOperator, Hankyu Railway]
-
A.
hasRailTransportOperator
Indicates that a rail transport system, service, or infrastructure is operated or managed by a specified rail transport operator.
-
B.
hasLocalRailOperator
chosen
Indicates that a specified rail operator is responsible for providing local or regional rail services within a particular area or network.
-
C.
hasNearbyRailway
Indicates that one entity is located close to a railway associated with or relevant to another entity.
-
D.
operatorOfNearestStation
Indicates that an entity is the organization or operator responsible for managing the station that is geographically closest to a given reference point or entity.
-
E.
nearestRailwayLine
Indicates that one railway line is the closest in distance to a given location or feature compared to all other railway lines.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e2fabbea94819092ed41348909622f |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f47b865df48190bf4b6d3e9f9305e6 |
completed | May 1, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69f4682c8a3c8190adbfaac99474eaaf |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 18, 2026, 4:27 a.m.